Use when you have a full spike, PRD, or long design doc and want a tight, scannable SUMMARY of it for a busy reviewer. Condenses the source into a super-short TLDR, one all-in-one diagram, the recommendation, spike goals, still-open options, open questions, open risks, the technical deltas (GraphQL / DB / query), additive migration, external dependencies, and feature-flag strategy, with a link back to the full doc. Clean team style, no emoji or tag overload. For the full spike itself use readable-doc-spike; for the content use write-spike.

Devflow wrapper for the upstream executing-plans skill. Use when you have a written implementation plan to execute task-by-task. ALWAYS invoke `/devflow:executing-plans` rather than the upstream skill directly — this wrapper guarantees that the post-implementation handoff goes to `/devflow:finish-feature` (devflow's verification + PR/MR creation flow) instead of `superpowers:finishing-a-development-branch` (the upstream default, which doesn't integrate with devflow's VCS-coherent finish flow).

Devflow wrapper for the upstream executing-plans skill. Use when you have a written implementation plan to execute task-by-task. ALWAYS invoke `/devflow:executing-plans` rather than the upstream skill directly — this wrapper guarantees that the post-implementation handoff goes to `/devflow:finish-feature` (devflow's verification + PR/MR creation flow) instead of `superpowers:finishing-a-development-branch` (the upstream default, which doesn't integrate with devflow's VCS-coherent finish flow).

Morning startup workflow for daily notes, yesterday summary, agenda, status comments, meeting sections, and daily branch setup. Use when invoked as `$work-start-day` or when the user asks to start the work day.

Keep memory across sessions in a separate local git repo that follows the Agent Memory Repo spec. Use when the user invokes this skill, asks you to remember something for future sessions, or asks what you remember.

Write commit messages under the agent-commits convention - a Conventional Commits fork with no chore catch-all, intent-only type tokens, facts in trailers, and legally-grounded AI provenance (Assisted-by, never Co-authored-by). Use when composing a commit in a repo whose commitlint.config.js extends agent-commits, when deciding between feat/fix/refactor/perf, or when recording AI participation.

Coordinate multi-agent work through durable artifacts in git instead of chat. Use this whenever a task involves sending a message to another agent, agent mailboxes or handoffs, claiming work from a shared queue, notifying another agent or crew (OpenClaw, Grok Bot, Claude Code, Codex, Gas Town/Gas City workers) that work is ready, or whenever the user mentions the artifact bus, message bus, agent mail, beads mail, doorbells, or pings between agents — even if they don't say "bus" explicitly.

Pin the current cmux workspace to the done lane with `cmux workspace status set done` once a session goal is reached and verified. Use at the end of a work session running inside a cmux terminal, right before the final response; skip when work is blocked, handed off, awaiting user input, or when nothing was changed.

Review a written plan or design doc through a designer's lens before implementation - seven passes over information architecture, interaction states, emotional arc, AI-slop risk, design-system alignment, responsive and accessibility coverage, and unresolved decisions. Each dimension is rated 0-10 with an explicit statement of what would make it a 10, then the plan is edited to get there. Use when a plan has a UI surface and you want the design gaps closed before code is written. Not for auditing a live site.

Run an infrastructure-first security audit of a repository - secrets archaeology, dependency supply chain, CI/CD pipeline, LLM/AI attack surface, agent skill supply chain, OWASP Top 10, STRIDE threat model, and data classification - with a confidence gate and a pre-emit verification gate that suppress speculative findings. Use when asked for a security audit, threat model, pentest-style review, OWASP pass, or a pre-release security check. Not for reviewing a single diff - use requesting-code-review for that.

Create and commit a durable handoff document that gives a fresh agent the context and prompt to continue the current planning or implementation work. Use only when explicitly invoked as `$handoff` or when the user explicitly requests a handoff.

Retrieve current documentation, API references, and code examples for any library, framework, SDK, CLI tool, or cloud service — including well-known ones like React, Next.js, Prisma, Django, or Spring Boot. Use for API syntax, configuration options, version migrations, setup instructions, and library-specific debugging, even when you already think you know the answer: training data on API details and signatures is frequently outdated. Prefer this over web search for library documentation.

Check GitHub Actions CI status for PRs and branches. Use when the user asks "did CI pass", "check status", "what failed", "are checks green", "PR checks", "CI status", "workflow status", "re-run jobs", or wants a quick summary of GitHub Actions runs for a PR or the current branch.

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

CI-only self-healing workflow using gh-aw (GitHub Agentic Workflows) for active runtime recovery on pull requests and scheduled runs. When a CI check fails (test, build, lint, deploy, scan), this skill diagnoses the failure from CI logs, proposes a verified patch as a PR comment or follow-up commit, and commits a HEAL entry to `.learnings/HEALS.md`. Verify-before-persist discipline preserved: a HEAL is only `verified` if a re-run check passes in the same workflow; otherwise it ships as `pending-verify` for human follow-up. Recurrent heal patterns across PRs accumulate `Recurrence-Count` and append a `Handoff` block at ≥3 to flag promotion via self-improvement-ci. Use this skill when: you want headless heal-loop execution in CI/scheduled pipelines, you want recurring failure patterns captured automatically, or you want PRs that surface non-obvious environmental / tooling fixes without human triage. For interactive/local sessions, use `self-healing` instead.

CI-only self-healing workflow using gh-aw (GitHub Agentic Workflows) for active runtime recovery on pull requests and scheduled runs. When a CI check fails (test, build, lint, deploy, scan), this skill diagnoses the failure from CI logs, proposes a verified patch as a PR comment or follow-up commit, and commits a HEAL entry to `.learnings/HEALS.md`. Verify-before-persist discipline preserved: a HEAL is only `verified` if a re-run check passes in the same workflow; otherwise it ships as `pending-verify` for human follow-up. Recurrent heal patterns across PRs accumulate `Recurrence-Count` and append a `Handoff` block at ≥3 to flag promotion via self-improvement-ci. Use this skill when: you want headless heal-loop execution in CI/scheduled pipelines, you want recurring failure patterns captured automatically, or you want PRs that surface non-obvious environmental / tooling fixes without human triage. For interactive/local sessions, use `self-healing` instead.

[Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by pattern_key, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw learning data into actionable gap reports. Use on a regular cadence (weekly, before major tasks, or at session start for critical projects). Can be invoked manually or scheduled.

[Beta] Cross-session analysis of accumulated .learnings/ files. Reads all entries, groups by pattern_key, computes recurrence across sessions, and outputs ranked promotion candidates. This is the outer loop's inspect step — it turns raw learning data into actionable gap reports. Use on a regular cadence (weekly, before major tasks, or at session start for critical projects). Can be invoked manually or scheduled.